Triple
T16009537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stelmaria |
E388302
|
entity |
| Predicate | takesFormOf |
P121335
|
FINISHED |
| Object | snow leopard |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: snow leopard | Statement: [Stelmaria, takesFormOf, snow leopard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesFormOf Context triple: [Stelmaria, takesFormOf, snow leopard]
-
A.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
B.
rescuedInFormOf
Indicates that one entity is rescued, saved, or recovered specifically in the form, state, or manifestation represented by another entity.
-
C.
isRealFormOf
Indicates that one entity is the actual, physically existing or fully realized version of another entity, which may be abstract, conceptual, or a representation.
-
D.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
-
E.
isFormedFor
Indicates that something is created, established, or brought into existence for a particular purpose, function, or beneficiary.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.